The Association Between Trait Gratitude and Self-Reported Sleep Quality Is Mediated by Depressive Mood State

2017 ◽  
Vol 17 (1) ◽  
pp. 41-48 ◽  
Author(s):  
Anna Alkozei ◽  
Ryan Smith ◽  
Megan D. Kotzin ◽  
Debby L. Waugaman ◽  
William D. S. Killgore
Keyword(s):  
Sleep Quality ◽  
Mood State ◽  
Depressive Mood ◽  
Trait Gratitude

scholarly journals Assessing mood and cognitive functioning in acute stroke: clinical usability of a Visual Analogue Mood Scale (VAMS)

2021 ◽  
Author(s):  
Fabrizio Pasotti ◽  
Sabrina Serranò ◽  
Edoardo Nicolò Aiello ◽  
Chiara Gramegna ◽  
Matteo Querzola ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Mood State ◽  
Psychometric Evaluation ◽  
Depressive Mood ◽  
Control Line ◽  
Emotional States ◽  
Cognitive Measures ◽  
Stroke Patients ◽  
Clock Drawing Test ◽  
Mood Scale

Abstract Background Patients suffering from stroke in the acute/post-acute phases often present with depressive mood — which negatively impacts on patients’ prognosis. However, psychometric evaluation of mood in acute stroke patients may be challenging due to cognitive deficits. Tools investigating emotional states via a vertical analogue line may overcome language/visuo-spatial disorders. This study thus aimed at (a) investigating the clinical usability of a Visual Analogue Mood Scale (VAMS) in acute stroke patients and (b) investigating the interplay between mood and cognition in this population. Methods Forty-one acute stroke patients were compared to 41 age-, education- and sex-matched healthy participants (HPs) on the VAMS and on cognitive measures (mental performance in acute stroke, MEPS). A control line bisection (LB) task was administered to control for potential visuo-spatial deficits in patients. Results Patients reported higher depression levels than HPs (lower VAMS scores); this between-group difference stayed significant when covarying for LB scores. MEPS scores discriminated patients from HPs; among cognitive measures, only the Clock drawing test (CDT) was positively associated with VAMS scores. Lesion side did not affect patients’ mood state; however, disease duration was inversely related to VAMS scores. Discussion The VAMS proved to be a suitable tool for assessing mood in acute stroke patients, as being independent from post-stroke cognitive sequelae. The CDT might represent an adequate measure of depression-induced, post-stroke cognitive efficiency decrease. Mood disorders might occur and thus should be adequately addressed also in post-acute phases — likely due to longer hospitalization times and regression of anosognosic features.

Screening for Depression in the Medically Ill: The Suggested Utility of a Cognitive-Based Approach

2001 ◽  
Vol 35 (4) ◽  
pp. 474-480 ◽  
Author(s):  
Gordon Parker ◽  
Gordon Parker ◽  
Therese Hilton ◽  
Dusan Hadzi-Pavlovic ◽  
Jatinder Bains
Keyword(s):  
Mood State ◽  
Depression Scale ◽  
Composite International Diagnostic Interview ◽  
Depressive Mood ◽  
Physical Symptoms ◽  
Diagnostic Interview ◽  
Medical Illness ◽  
Medically Ill ◽  
High Internal Consistency ◽  
Comparison Measures

Objective: There is a need for a valid measure of depression in the medically ill, and one that is independent of medical illness characteristics. As yet, there is no such widely accepted measure. We thus report on the early development of such a measure using cognitive constructs that define depressive mood state nuances. Method: We studied 67 patients with a significant medical illness, verbally administering a set of 81 provisional items. Sample members also alternatively completed one of two comparison measures: the Hospital Anxiety and Depression Scale (HADS) or the Beck Depression Inventory for Primary Care (BDI-PC). A psychiatrist interviewed a subset to determine severity of any depression and whether subjects met formalized caseness criteria for depression. The Composite International Diagnostic Interview (CIDI) was also administered during interviews to assess agreement with psychiatrist judgements about caseness. Results: A 16-item measure with high internal consistency was derived, with validation analyses suggesting it was distinctly superior to the HADS and somewhat superior to the BDI-PC measure. Conclusions: A cognitive-based approach (as used by both our measure and the BDI-PC) to screen for depression in medically ill groups appears to have distinct utility in identifying depressed patients, and in avoiding confounding influences of physical symptoms.

Impact Of Short-term Intensified Training On Sleep Quality And Mood State In Well-trained Cyclists

2014 ◽  
Vol 46 ◽  
pp. 936-937
Author(s):  
Sophie C. Killer ◽  
Ida S. Svendsen ◽  
James M. Carter ◽  
Rebecca K. Randell ◽  
Sam P. Pool ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Mood State ◽  
Short Term

Relationshp Between Sleep Quality, Mood State, and Performance of Elite Air-Rifle Shooters

2021 ◽  
Author(s):  
Jiaojiao Lu ◽  
Yan An ◽  
Jun Qiu
Keyword(s):  
Sleep Quality ◽  
Mood State ◽  
Sleep Latency ◽  
Sleep Time ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Somatic Anxiety ◽  
And Performance ◽  
Air Rifle ◽  
Good Sleep

Abstract Background To evaluate the impact of pre-competition sleep quality on the mood and performance of elite air-rifle shooters. Methods This study included 23 elite air-rifle shooters who participated in an air-rifle shooting-competition from April 2019 to October 2019. Sleep time, sleep efficiency, sleep latency, and wake-up time after sleep onset were monitored using actigraphy. The Pittsburgh sleep quality index and Profile of Mood State were used to assess sleep quality. Competitive State Anxiety Inventory-2 was used to evaluate mood state. Results The average time to fall asleep, sleep time, sleep efficiency, and subjective sleep quality were 20.6 ± 14.9 min, 7.0 ± 0.8 h, 85.9 ± 5.3%, and 5.2 ± 2.2, respectively. Sleep quality decreased as the competition progressed. Pre-competition sleep time in female athletes was significantly higher than that on the competition day (P = 0.05). Pre-competition sleep latency was significantly longer in women than in men (P = 0.021). During training and pre-competition, the tension, fatigue, depression, and emotional disturbance were significantly lower in athletes with good sleep quality than in athletes with poor sleep quality. Athletes with good sleep quality had significantly more energy. The PSQI total score was positively correlated with positive emotion, TMD, cognitive anxiety, and somatic anxiety POMS scores, and negatively correlated with energy and self-confidence scores. Race scores and depression and somatic anxiety scores were negatively correlated. Conclusion Poor sleep quality negatively impacted the mood of athletes; however, sleep indices and competition performance of athletes during competitions were not significantly correlated.

scholarly journals Passion for an activity: a new predictor of sleep quality

SLEEP ◽  
2020 ◽  
Vol 43 (12) ◽  
Author(s):  
Jocelyn J Bélanger ◽  
Karima A Raafat ◽  
Claudia F Nisa ◽  
Birga M Schumpe
Keyword(s):  
Sleep Quality ◽  
Well Being ◽  
Depressive Mood ◽  
Future Research ◽  
Sleep Habits ◽  
Harmonious Passion ◽  
Obsessive Passion ◽  
Mood Symptoms ◽  
The Relationship

Abstract Study Objectives The present research examines the relationship between people’s frequent involvement in an activity they like and find important (i.e., a passion) and the quality of their sleep. Research on the dualistic model of passion has widely documented the relationship between individuals’ type of passion—harmonious versus obsessive—and the quality of their mental and physical health. However, research has yet to examine the relationship between passion and sleep quality. Building on prior research has shown that obsessive (vs harmonious) passion is related to depressive mood symptoms—an important factor associated with sleep problems—we hypothesized that obsessive passion would be associated with overall worse sleep quality, whereas harmonious passion would predict better sleep quality. Methods A sample of 1,506 Americans filled out an online questionnaire on sleep habits and passion. Sleep quality was measured using the Pittsburgh Sleep Quality Index. Hierarchical linear regressions and mediation analyses were carried out with results confirming our hypotheses. Results Obsessive passion for an activity was associated with worse sleep quality, whereas harmonious passion was associated with better sleep quality, adjusting for demographics, the type of passionate activity and its self-reported importance, alcohol and tobacco consumption, BMI, self-reported health, and diagnosed health conditions. The relationship between both types of passion and sleep quality was mediated by depressive mood symptoms. Conclusions Our study presents evidence of a strong relationship between sleep quality and passion, opening the door for future research to create new interventions to improve people’s sleep and, consequently, their well-being.

scholarly journals Do depression, anxiety, emotional intelligence, and sleep quality affect diabetes management self-efficacy in Korean women with gestational diabetes in pregnancy?: a descriptive correlational study

2021 ◽  
Vol 27 (4) ◽  
pp. 358-367
Author(s):  
Hoon Ah Lee ◽  
Keum Seong Jang
Keyword(s):  
Emotional Intelligence ◽  
Gestational Diabetes ◽  
Sleep Quality ◽  
Pregnant Women ◽  
Self Efficacy ◽  
Online Survey ◽  
Diabetes Management ◽  
Final Analysis ◽  
Depressive Mood ◽  
Factors Associated

Purpose: This study aimed to identify factors associated with diabetes management self-efficacy in pregnant women with gestational diabetes mellitus (GDM) in Korea.Methods: A total of 173 pregnant women with GDM in Korea were recruited by posting announcements at two Korean online communities focusing on pregnancy and GDM. Participants completed a structured online survey from July to September 2018. Thirteen inappropriate responses were excluded and a total of 160 questionnaires were used in the final analysis. Descriptive statistics were calculated and multiple regression with the enter method was done to identify the associations of depressive mood, anxiety, emotional intelligence, and sleep quality with diabetes management self-efficacy. The SPSS version 23.0 (IBM Corp.) was used for the analysis. Results: Respondents reported a moderately depressive mood (mean, 10.36), low to moderate anxiety (mean, 41.65), above-average emotional intelligence (mean, 78.04), moderate sleep quality (mean 42.01), and above-average diabetes management self-efficacy (mean, 52.29). The major factor associated with diabetes management self-efficacy of pregnant women with GDM was emotional intelligence (β=.51, p<.001). Other factors, in descending order of influence, were sleep quality (β=.22, p<.001) and exercise (β=.18, p=.004). Taken together, the aforementioned factors explained 34.6% (F=39.53, p<.001) of the total variance. Conclusion: The results of this study suggest that to improve the diabetes management self-efficacy of pregnant women with GDM, it is necessary to develop an education program that can also enhance emotional intelligence, sleep quality, and exercise.

scholarly journals Dimensions of Self-Construal Associated with Self-Esteem and Depression: A Study among Mexican Students

2019 ◽  
Vol 9 (2) ◽  
Author(s):  
Peter B. Smith ◽  
Lorena Pérez Floriano ◽  
Paola Eunice Díaz Rivera
Keyword(s):  
Mexico City ◽  
Mood State ◽  
Self Esteem ◽  
Depressive Mood ◽  
Mood States ◽  
Behavioral Variability ◽  
Mexican Students ◽  
Two Samples ◽  
Self Construal ◽  
The Relationship

The relationship between dimensions of self-construal and reported mood states is examined among two samples of Mexican students. Scales focused on seven different aspects of self-construal were employed. Respondents favored predominantly individualistic ways of describing themselves, but also scored high on connection to others. These effects were particularly strong among respondents from Tijuana when compared with those from Mexico City. Depressive mood state was predicted by higher self-reported connection with others, commitment to others, receptiveness to influence and behavioral variability. High self-esteem was predicted by higher self-reported consistency, self-orientation, self-direction and expressiveness.

The Visual Analogue Mood Scale: Can a Single-Item Scale Accurately Classify Depressive Mood State?

1999 ◽  
Vol 85 (3_suppl) ◽  
pp. 1238-1243 ◽  
Author(s):  
William D. Scott Killgore
Keyword(s):  
College Students ◽  
Mood State ◽  
Depression Scale ◽  
Rate Sensitivity ◽  
Depressive Mood ◽  
Affective States ◽  
Single Item ◽  
Hit Rate ◽  
Mood Scale ◽  
Item Scale

Visual analogue mood scales provide extremely rapid, single-item assessment of affective states. This study examined discrimination on a single-item visual analogue depression scale between dysphoric or mildly depressed and nondepressed individuals in a sample of 284 college students. The visual analogue mood scale significantly discriminated subjects by mood category and achieved comparable hit rate, sensitivity, and specificity relative to other well validated mood scales.

The Effect of Habitual Exercise on Daytime Sleepiness and Mood of US Navy Sailors

2017 ◽  
Vol 61 (1) ◽  
pp. 522-526
Author(s):  
Anna Sjörs Dahlman ◽  
Panagiotis Matsangas ◽  
Nita Lewis Shattuck
Keyword(s):  
Sleep Quality ◽  
Daytime Sleepiness ◽  
Mood State ◽  
Negative Effects ◽  
Aircraft Carrier ◽  
Vigilance Performance ◽  
Us Navy ◽  
Habitual Exercise ◽  
Psychomotor Vigilance ◽  
Working Out

As part of a broader study, this work investigates if habitual exercise protects against mood deterioration and daytime sleepiness in Sailors during underway operations. Previous work has shown that unfavorable watchstanding schedules have negative effects on sleep quality, subjective levels of fatigue, mood, and psychomotor vigilance performance. The participants were crewmembers of a U.S. Navy aircraft carrier (N=193), working on two different watchstanding schedules. Epworth Sleepiness Scale (ESS) and profile of mood state (POMS) scores were compared between participants who reported exercising < 3 times/week and ≥3 times/week. During the course of the underway, ESS and POMS scores changed more favorably for the crewmembers who exercised 3 or more times/week compared to their peers who exercised less. The effect of working out was more prominent in the less favorable shift schedule. These results suggest that habitual exercise can be a protective buffer against some of the negative effects of watchstanding while underway.

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